nlp engineer

PointofIT

We are looking for an experienced NLP focused AI Engineer to help us unlock insights from clinical notes, care plans, and patient documentation. The resource will work with transformer models and rule based techniques to enable AI driven personalized care, behavioral analysis, and nonadherence detection.Responsibilities<ul><li>Build NLP pipelines to extract symptoms, conditions, behaviors, and clinical context from Rx Referals</li><li>Build time-series models, survival analysis pipelines, and risk-scoring frameworks for transplant outcomes.</li><li>Implement algorithms to detect early signs of chronic rejection (e.g., BOS/CLAD stages)</li><li>Clean, preprocess, and engineer features from irregular, noisy clinical datasets.</li><li>Validate models using clinically meaningful metrics and ensure interpretability for medical decision support.</li><li>Experience working with lung transplant clinical registries i.e ISHLT Registry, UNOS / OPTN,ELTR,CIBMTR</li><li>Familiarity with pulmonary disease and spirometry registries i.e NHANES, COPDGene</li><li>Fine tune and deploy models like ClinicalBERT, BioBERT, or BlueBERT</li><li>Implement sectionizers, negation detection, and temporal classifiers using tools like MedSpaCy</li><li>Contribute to hybrid models that combine unstructured and structured patient data</li><li>Support generation of personalized care interventions</li><li>Collaborate with ML engineers, clinical analysts, and developers</li><li>Ensure compliance with healthcare standards (HIPAA)</li></ul>Required Skills<ul><li>3+ years of NLP/ML experience</li><li>Hands on experience with transformers and fine tuning pretrained models</li><li>Strong programming background in Python</li><li>Experience working with PyTorch/TensorFlow</li><li>Experience working with libraries like spaCy and Hugging Face Transformers</li><li>Understanding of context detection, classification, and named entity recognition</li><li>Deployment experience in Azure, AWS or GCP</li></ul>Nice To Have Skills<ul><li>Experience with healthcare chatbots</li><li>Prompt engineering or experience working with LLMs</li><li>Knowledge of early warning scores and risk stratification</li><li>Familiarity with clinical terminology and standards like ICD-10</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs250,000.00 per monthApplication Question(s):<ul><li>Do you have 3+ years of hands-on experience in NLP/ML, including working with transformers and fine-tuning pretrained models?</li><li>Are you proficient in Python, with experience using frameworks like PyTorch/TensorFlow and libraries such as spaCy or Hugging Face Transformers?</li><li>Do you have experience deploying ML/NLP models on cloud platforms such as Azure, AWS, or GCP?</li></ul>Work Location: In person

AI Engineer (HealthCare)

Comprehensive Rehab Consultants

About Comprehensive Rehab Consultants (CRC)Comprehensive Rehab Consultants partners with skilled nursing facilities to improve clinical quality, efficiency, and financial performance. CRC is recognized as an innovator in the post-acute care space, developing new AI-driven care and revenue models that decrease hospitalizations and improve outcomes.We are seeking a Machine Learning Engineer to drive the next generation of CRC&rsquo;s AI platform. This role is engineering-heavy, focused on building, tuning, and deploying scalable ML/NLP/LLM systems that power our clinician tools, financial analytics, contract modeling, DFS/PDPM engines, readmission risk scores, and enterprise analytics chatbot.Role SummaryYou will design, optimize, and productionize machine learning systems using CRC&rsquo;s full internal data environment. This includes tuning an existing NLP engine, developing statistical/ML models (including ordered probit and regression-based DFS calculator), building internal LLMs trained on CRC documents, and developing the AI analytics chatbot used by all business units.This role requires someone who ships ML systems&mdash;not someone who just builds notebooks.Key ResponsibilitiesMachine Learning &amp; Statistical Modeling<ul><li>Build, tune, and validate statistical models including multi-stage regression, ordered probit, and generalized linear models, audit automation, acuity scoring, and financial forecasting</li><li>Engineer features from structured and unstructured healthcare data (EMR, claims, revenue cycle, clinician notes)</li></ul>NLP &amp; LLM Engineering<ul><li>Tune the existing CRC NLP engine for clinical note understanding, keyword extraction, concept expansion, negation detection, and sentiment scoring</li><li>Build custom clinical embeddings using HuggingFace Transformers, spaCy, and domain-tuned vector models</li><li>Develop and maintain a CRC private LLM, trained on internal knowledge bases, documentation, analytics logic, and care guidelines</li><li>Build automated pipelines for LLM evaluation, retraining, retrieval-augmented generation (RAG), and grounded QA</li></ul>AI-Driven Product Development<ul><li>Architect, build, and deploy the AI Analytics Chatbot, integrating model logic, business rules, and Fabric/Databricks data sources</li><li>Integrate ML models into production services using notebooks, APIs, or batch inference jobs</li><li>Support creation of AI-generated reporting, insights summaries, and automated clinical/financial narratives</li></ul>MLOps &amp; Engineering<ul><li>Build maintainable ML pipelines (training, validation, deployment) using Databricks, Fabric, MLflow, GitHub, and CI/CD</li><li>Implement model monitoring, drift detection, and automated retraining</li><li>Package and deploy reproducible models via APIs or scheduled Fabric/Databricks workflows</li></ul>Collaboration &amp; Delivery<ul><li>Work with data engineering to embed models into CRC applications</li><li>Partner with BI analysts to transform model outputs into dashboards</li><li>Document methodologies, assumptions, architecture, and validation processes clearly</li></ul>Required Skills &amp; Experience<ul><li>3&ndash;6 years of hands-on machine learning engineering experience (not just DS notebooks)</li><li>Strong Python engineering background: pandas, scikit-learn, statsmodels, PyTorch or TensorFlow, transformers, spaCy</li><li>Experience building and tuning LLM and NLP pipelines end-to-end</li><li>Experience with regression, ordered probit/logit, hierarchical models, and general statistical modeling</li><li>Experience deploying ML workloads in Databricks, Azure ML, and Fabric</li><li>Strong SQL for feature engineering and model validation</li><li>Prior experience working with healthcare data (EMR, claims, RCM, CMS) preferred</li><li>Strong communication and the ability to explain complex ML systems to non-technical stakeholders.</li><li>Proactive, self-managing engineer who can independently own ML systems end-to-end.</li><li>Fluent English required</li></ul>Preferred Qualifications<ul><li>Experience with:</li><li>Retrieval-Augmented Generation (RAG) pipelines</li><li>Vector databases (FAISS, Chroma, Pinecone, Qdrant)</li><li>Enterprise chatbot frameworks</li><li>MLflow, CI/CD, GitHub Actions, and model versioning</li><li>Power BI integration for ML outputs</li><li>FHIR/SMART on FHIR</li></ul>Certifications considered:<ul><li>Databricks ML Associate/Professional</li><li>Azure AI Engineer Associate</li><li>DeepLearning.AI NLP/LLM specializations</li></ul>Job Type: Full-timePay: From Rs3,030,000.00 per yearExperience:<ul><li>hands-on machine learning engineering: 3 years (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: Remote

Machine Learning Engineer

Three Across

<div>
 
 Role: Senior AI/ML Engineer &ndash; Python, NLP/LLM, Generative AI
 
 
 
 
 Location: Chennai (Preferred)/ Indore/ Navi Mumbai
 
 
 
 
 Work Mode: Hybrid
 
 
 
 We is hiring a Senior AI/ML Engineer with 4&ndash;7 years of experience to build and deploy scalable AI, NLP, LLM and Generative-AI solutions.
 
 
 This role is ideal for someone who enjoys solving complex problems, working hands-on with Python and modern AI frameworks, and delivering high-impact products in a fast-moving environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy ML/NLP/LLM/Generative-AI models and solutions.
 </li>
 <li>
 Develop data pipelines, feature engineering workflows and training/validation processes.
 </li>
 <li>
 Implement end-to-end AI product components using Python, FastAPI, Docker, CI/CD, AWS.
 </li>
 <li>
 Work with agentic frameworks, vector databases, embeddings, RAG, and hybrid search.
 </li>
 <li>
 Collaborate with cross-functional teams to translate business requirements into technical solutions.
 </li>
 <li>
 Ensure scalability, performance and quality across the AI/ML lifecycle.
 </li>
 <li>
 Mentor junior engineers and support technical decision-making.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 4&ndash;7 years of ML/AI engineering experience with strong Python skills.
 </li>
 <li>
 Hands-on experience with NLP, NLU, LLMs, prompt engineering, Generative AI.
 </li>
 <li>
 Experience with containerization, CI/CD pipelines, model deployment and cloud (AWS preferred).
 </li>
 <li>
 Understanding of LoRA/PEFT, embeddings, vector databases, RAG pipelines, multi-agent systems.
 </li>
 <li>
 Strong communication skills and the ability to work in an Agile environment.
 
 
 </li>
 </ul>
 
 In a world racing toward automation, the real advantage belongs to those who can build intelligence &mdash; not just use it.
 
</div>

Sr. AI/ ML Engineer

Netscape labs

Job Title: AI Engineer / NLP &amp; LLM Integration Specialist Experience Required: 2&ndash;4 yearsAbout the RoleWe are seeking a highly motivated AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&amp;A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures.This is a hands-on, research-to-deployment role. You will play a key part in shaping the product&rsquo;s intelligence and language capabilities &mdash; from designing conversation flows to building semantic search systems and custom logic engines.Key Responsibilities<ul><li>Design and implement AI-driven chatbots and Q&amp;A systems using NLP and LLMs.</li><li>Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models.</li><li>Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases.</li><li>Build and integrate information retrieval and semantic search features.</li><li>Apply intent classification, category detection, and dialogue management techniques.</li><li>Deploy and optimize backend services that serve AI responses through APIs.</li><li>Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations.</li><li>(Optional) Integrate or build astrology-based models or rule-based prediction engines.</li></ul>Required Skills<ul><li>Strong experience in Natural Language Processing (NLP).</li><li>Familiarity with LLM integration, prompt engineering, and RAG architectures.</li><li>Practical knowledge of Machine Learning / Deep Learning.</li><li>Strong programming skills in Python.</li><li>Experience working with structured and unstructured data (CSV, JSON, Excel).</li><li>Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems).</li><li>Understanding of information retrieval, semantic search, and vector embeddings.</li><li>Ability to write clean, production-ready code and deploy services using Flask/FastAPI.</li><li>Solid understanding of user intent classification and conversational flow design.</li></ul>Preferred Qualifications<ul><li>Experience building chatbots, virtual assistants, or AI-driven user interfaces.</li><li>Prior exposure to astrology or rule-based prediction engines (a plus but not required).</li><li>Familiarity with knowledge graphs or domain-specific ontologies.</li><li>Hands-on experience with vector stores (e.g., Pinecone, FAISS, Weaviate) and embedding techniques.</li><li>Ability to work independently and communicate ideas clearly and effectively.</li></ul>Job Type: Full-timePay: &#8377;15,000.00 - &#8377;60,000.00 per monthBenefits:<ul><li>Paid sick time</li></ul>Experience:<ul><li>AI: 1 year (Preferred)</li></ul>Location:<ul><li>Mohali, Punjab (Preferred)</li></ul>Work Location: In person

AI Engineer

<div>
 
 Introduction
 
 
 
 In this role, you&rsquo;ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 &minus; Design and implement data pipelines for collecting, processing, and transforming data relevant for RAG and model evaluation.
 
 
 &minus; Develop and manage data indexing and search systems (e.g., Vector Databases, Elasticsearch, Pinecone) for efficient Retrieval in RAG.
 
 
 &minus; Select, train, and optimize ML models to enhance chatbot functionality (e.g., for intent understanding, entity extraction, sentiment analysis, if relevant).
 
 
 &minus; Design and implement methodologies for evaluating the performance of RAG models, conversational flows, and the overall chatbot user experience.
 
 
 &minus; Monitor model performance in production and implement strategies for retraining and improvement.
 
 
 &minus; Collaborate with Business/Technical Analysts to understand business metrics and translate them into technical metrics.
 
 
 &minus; Ensure data quality and integrity.
 
 
 
 Required Technical And Professional Expertise
 
 
 
 &minus; Minimum of 4 years of experience in Machine Learning Engineering or Data Science with an emphasis on NLP.
 
 
 &minus; Expert knowledge of Python and relevant ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).
 
 
 &minus; In-depth knowledge of NLP and RAG (Retrieval Augmented Generation) concepts.
 
 
 &minus; Experience with vector databases and search engines (e.g., Milvus, Pinecone, Elasticsearch).
 
 
 &minus; Practical experience with GCP AI/ML services (Vertex AI, BigQuery ML, Cloud Natural Language API, Cloud AI Platform).
 
 
 &minus; Google certification "Generative AI Leader", " Data Practitioner" , &ldquo;Machine Learning Engineer&rdquo;, "Cloud Database Engineer", "Data Engineer", "Cloud Security Engineer"
 
 
 &minus; Experience with data pipelines and ETL processes.
 
 
 &minus; Strong analytical skills and the ability to interpret complex datasets.
 
 
 &minus; Experience with A/B testing and experimental design for ML models.
</div>

Senior Data Scientist

Simcoe IT

We are looking for a motivated AI Engineer / API Integrator to join our growing AI development team. The ideal candidate will have hands-on experience in Python, API integration, and LangChain frameworks. You will be responsible for connecting and optimizing external AI and NLP APIs to power next-generation, multi-modal AI solutions.Key Responsibilities<ul><li>Integrate and manage external AI and NLP APIs within the AI Processing Router Engine.</li><li>Design and maintain query routing pipelines for text, image, and video workflows.</li><li>Test and optimize API performance and latency across different AI layers.</li><li>Handle API token management, authentication, and security.</li><li>Collaborate with backend engineers to ensure stable and scalable integration.</li></ul>Required Skills &amp; Experience<ul><li>2 years of hands-on experience with Python programming.</li><li>Solid understanding of LangChain, LLM workflows, and prompt optimization.</li><li>Proven ability in API integration (REST / GraphQL) and data handling.</li><li>Familiarity with AI model deployment and multi-modal (text / image / video) data routing.</li><li>Strong debugging, analytical, and documentation skills.</li></ul>Apply at: haroon@searchopal.com Or share CV via WhatsApp: 0337-9928258Job Type: Full-timePay: Rs80,000.00 - Rs90,000.00 per monthWork Location: In person

AI Engineer / API Integrator

Deloitte

<div>
 
 
 Your potential, unleashed.
 
 
 
 
 
 India&rsquo;s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.
 
 
 
 
 At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.
 
 
 
 
 
 The team
 
 
 
 
 
 The Information Technology department is responsible for building products and platforms for Deloitte India that focuses on providing extraordinary customer experience by putting design thinking with trailblazing technology in the center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers &amp; designers, data scientists and product managers.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 1.
 
 NLP Model Development
 
 : Design, develop, and implement state-of-the-art NLP algorithms and models to extract insights and patterns from large volumes of textual data. Leverage machine learning and deep learning techniques to tackle NLP tasks such as text classification, entity extraction, and document summarization.
 
 
 
 
 2.
 
 Data Preprocessing and Feature Engineering
 
 : Preprocess and clean textual data to prepare it for analysis and modeling. Perform feature engineering to extract relevant features and representations from raw text, including word embeddings, n-grams, and syntactic features.
 
 
 
 
 
 3.
 
 Model Evaluation and Validation
 
 : Evaluate the performance of NLP models using appropriate metrics and statistical techniques. Conduct rigorous testing and validation to ensure the accuracy, robustness, and generalization of NLP models across different datasets and domains.
 
 
 
 
 
 4.
 
 NLP Integration
 
 : Collaborate with cross-functional teams, including software engineers and product managers, to integrate NLP solutions into production systems and applications. Ensure seamless interoperability and performance optimization of NLP components within larger AI systems.
 
 
 
 
 
 5.
 
 Research and Innovation
 
 : Stay up-to-date with the latest research in NLP and Gen AI, and apply cutting-edge methodologies to real-world problems. Explore new methodologies, tools, and approaches to improve the effectiveness and efficiency of NLP solutions. Contribute to research publications and thought leadership in the field of NLP.
 
 
 
 
 
 6.
 
 Data Analysis and Visualization
 
 : Analyze and interpret results from NLP models to extract meaningful insights and actionable recommendations. Visualize findings using appropriate techniques and tools to communicate complex information effectively to stakeholders.
 
 
 
 
 
 7.
 
 Documentation and Reporting
 
 : Document methodologies, findings, and insights from NLP projects in clear and concise reports. Communicate technical concepts and results to both technical and non-technical audiences, including management and business stakeholders.
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 &bull;Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
 
 
 
 
 
 &bull;Minimum of 5+ years of proven experience as a Data Scientist with a focus on NLP and 2 years on Gen AI, preferably in industry or research settings.
 
 
 
 
 
 &bull;Strong knowledge of NLP techniques and algorithms, including text preprocessing, feature extraction, and supervised and unsupervised learning methods.
 
 
 
 
 
 &bull;Proficiency in programming languages such as Python or R, and libraries such as NLTK, spaCy, scikit-learn, and TensorFlow/PyTorch for NLP.
 
 
 
 
 
 &bull;Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
 
 
 
 
 
 &bull;Experience with containerization and orchestration technologies such as Docker and Kubernetes.
 
 
 
 
 
 &bull;Basic understanding of system design and ML-Ops practices.
 
 
 
 
 
 &bull;Excellent problem-solving skills and analytical thinking.
 
 
 
 
 
 &bull;Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
 
 
 
 
 
 &bull;Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 
 
 
 
 &bull;Experience with deep learning architectures for NLP, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models (e.g., BERT, GPT).
 
 
 
 
 
 &bull;Knowledge of domain-specific NLP tasks and applications, such as chatbots, document understanding, or information extraction.
 
 
 
 
 
 &bull;Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 
 
 
 
 
 How you&rsquo;ll grow
 
 
 
 
 
 
 
 Connect for impact
 
 
 
 
 
 
 Our exceptional team of professionals across the globe are solving some of the world&rsquo;s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.
 
 
 
 
 
 
 Empower to lead
 
 
 
 
 
 
 You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.
 
 
 
 
 
 
 Inclusion for all
 
 
 
 
 
 
 At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.
 
 
 
 
 
 
 Drive your career
 
 
 
 
 
 
 At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.
 
 
 
 
 
 Everyone&rsquo;s welcome&hellip; entrust your happiness to us
 
 
 
 
 
 Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here&rsquo;s a glimpse of things that are in store for you.
 
 
 
 
 
 Interview tips
 
 
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you&rsquo;re applying to. Check out recruiting tips from Deloitte professionals.
 
</div>

Data Scientist

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